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ORCIDKai Chen 0001
Person information
- affiliation: University of Science and Technology of China, Department of Electronics Science and Technology, Hefei, China
- affiliation: Microsoft Research Asia, Beijing, China
Other persons with the same name
- Kai Chen — disambiguation page
- Kai Chen 0002 — University of California at Berkeley, EECS Department, CA, USA
- Kai Chen 0003 — Google, Mountain View, CA, USA (and 1 more)
- Kai Chen 0004 — Xi'an Jiaotong University, School of Electronic and Information Engineering
- Kai Chen 0005
![[0000-0003-2587-6028]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2587-6028")
— Hong Kong University of Science and Technology (and 1 more) - Kai Chen 0006 — Shanghai Jiatong University, Institute of Image Communication and Network Engineering, China
- Kai Chen 0007 — Cisco Systems (and 1 more)
- Kai Chen 0008 — University of Science and Technology of China, Department of Modern Physics
- Kai Chen 0009 — University of Science and Technology of China, Department of Computer Science
- Kai Chen 0010 — Google (and 2 more)
- Kai Chen 0011 — University of Fribourg, Switzerland
- Kai Chen 0012 — Chinese Academy of Sciences, Institute of Information Engineering, SKLOIS, Beijing, China
- Kai Chen 0013 — Qualcomm, Wireless R&D Department, Beijing, China (and 2 more)
- Kai Chen 0014 — China University of Geosciences, School of Geophysics and Information Technology, Beijing, China
- Kai Chen 0015 — University of Southern California, Dept. of Industrial and Systems Engineering
- Kai Chen 0016 — Huazhong University of Science and Technology, School of Computer Science and Technology, Services Computing Technology and System Lab / Cluster and Grid Computing Lab, China
- Kai Chen 0017 — Zhejiang University
- Kai Chen 0018 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Kai Chen 0019 — Xiamen University, China
- Kai Chen 0020 — National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China
- Kai Chen 0021 — Wuhan University of Technology, Laboratory of Intelligent Manufacture and Control, China
- Kai Chen 0022 — University of Arizona, Department of Electrical and Computer Engineering, Tucson, AZ, USA
- Kai Chen 0023 — Huazhong University of Science and Technology, School of Automation, National Key Laboratory of Science and Technology on Multi-spectral Information Processing, Wuhan, China
- Kai Chen 0024 — Wuhan University, School of Remote Sensing and Information Engineering, Wuhan, China
- Kai Chen 0025 — BUPT, School of Information and Communication Engineering, Beijing, China
- Kai Chen 0026 — SenseTime Research, Hong Kong (and 2 more)
- Kai Chen 0027 — Fudan University, School of Computer Science, Shanghai, China
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2020 – today
- 2023
[c17]Haisong Ding, Bozhi Luan, Dongnan Gui, Kai Chen, Qiang Huo:
Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model. ICDAR (4) 2023: 20-37- [c16]Dongnan Gui, Kai Chen, Haisong Ding, Qiang Huo:
Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition. ICDAR (2) 2023: 348-365 - [c15]Yukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, Kai Chen:
GlyphControl: Glyph Conditional Control for Visual Text Generation. NeurIPS 2023 - [i4]Dongnan Gui, Kai Chen, Haisong Ding, Qiang Huo:
Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition. CoRR abs/2305.15660 (2023) - [i3]Yukang Yang, Dongnan Gui, Yuhui Yuan, Haisong Ding, Han Hu, Kai Chen:
GlyphControl: Glyph Conditional Control for Visual Text Generation. CoRR abs/2305.18259 (2023) - [i2]Haisong Ding, Bozhi Luan, Dongnan Gui, Kai Chen, Qiang Huo:
Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model. CoRR abs/2305.19543 (2023) - 2022
- [i1]Yangming Shi, Haisong Ding, Kai Chen, Qiang Huo:
APRNet: Attention-based Pixel-wise Rendering Network for Photo-Realistic Text Image Generation. CoRR abs/2203.07705 (2022) - 2021
- [c14]Haisong Ding, Kai Chen, Qiang Huo:
An Encoder-Decoder Approach to Handwritten Mathematical Expression Recognition with Multi-head Attention and Stacked Decoder. ICDAR (2) 2021: 602-616 - 2020
- [j4]Haisong Ding, Kai Chen, Qiang Huo:
Improving Knowledge Distillation of CTC-Trained Acoustic Models With Alignment-Consistent Ensemble and Target Delay. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2561-2571 (2020) - [c13]Kai Chen, Haisong Ding, Qiang Huo:
Parallelizing Adam Optimizer with Blockwise Model-Update Filtering. ICASSP 2020: 3027-3031 - [c12]Mingyang Guan, Haisong Ding, Kai Chen, Qiang Huo:
Improving Handwritten OCR with Augmented Text Line Images Synthesized from Online Handwriting Samples by Style-Conditioned GAN. ICFHR 2020: 151-156
2010 – 2019
- 2019
- [j3]Haisong Ding, Kai Chen, Qiang Huo:
Compressing CNN-DBLSTM models for OCR with teacher-student learning and Tucker decomposition. Pattern Recognit. 96 (2019) - [c11]Haisong Ding, Kai Chen, Qiang Huo:
Compression of CTC-Trained Acoustic Models by Dynamic Frame-Wise Distillation or Segment-Wise N-Best Hypotheses Imitation. INTERSPEECH 2019: 3218-3222 - 2018
- [c10]Haisong Ding, Kai Chen, Wenping Hu, Meng Cai, Qiang Huo:
Building Compact CNN-DBLSTM Based Character Models for Handwriting Recognition and OCR by Teacher-Student Learning. ICFHR 2018: 139-144 - 2017
- [c9]Wenping Hu, Meng Cai, Kai Chen, Haisong Ding, Lei Sun, Sen Liang, Xiongjian Mo, Qiang Huo:
Sequence Discriminative Training for Offline Handwriting Recognition by an Interpolated CTC and Lattice-Free MMI Objective Function. ICDAR 2017: 61-66 - [c8]Haisong Ding, Kai Chen, Ye Yuan, Meng Cai, Lei Sun, Sen Liang, Qiang Huo:
A Compact CNN-DBLSTM Based Character Model for Offline Handwriting Recognition with Tucker Decomposition. ICDAR 2017: 507-512 - [c7]Meng Cai, Wenping Hu, Kai Chen, Lei Sun, Sen Liang, Xiongjian Mo, Qiang Huo:
An Open Vocabulary OCR System with Hybrid Word-Subword Language Models. ICDAR 2017: 519-524 - [c6]Kai Chen, Li Tian, Haisong Ding, Meng Cai, Lei Sun, Sen Liang, Qiang Huo:
A Compact CNN-DBLSTM Based Character Model for Online Handwritten Chinese Text Recognition. ICDAR 2017: 1068-1073 - 2016
- [j2]Kai Chen, Qiang Huo:
Training Deep Bidirectional LSTM Acoustic Model for LVCSR by a Context-Sensitive-Chunk BPTT Approach. IEEE ACM Trans. Audio Speech Lang. Process. 24(7): 1185-1193 (2016) - [c5]Kai Chen, Qiang Huo:
Scalable training of deep learning machines by incremental block training with intra-block parallel optimization and blockwise model-update filtering. ICASSP 2016: 5880-5884 - 2015
- [j1]Lei Sun, Qiang Huo, Wei Jia, Kai Chen:
A robust approach for text detection from natural scene images. Pattern Recognit. 48(9): 2906-2920 (2015) - [c4]Kai Chen, Zhi-Jie Yan, Qiang Huo:
A context-sensitive-chunk BPTT approach to training deep LSTM/BLSTM recurrent neural networks for offline handwriting recognition. ICDAR 2015: 411-415 - [c3]Kai Chen, Zhi-Jie Yan, Qiang Huo:
Training deep bidirectional LSTM acoustic model for LVCSR by a context-sensitive-chunk BPTT approach. INTERSPEECH 2015: 3600-3604 - 2014
- [c2]Lei Sun, Qiang Huo, Wei Jia, Kai Chen:
Robust Text Detection in Natural Scene Images by Generalized Color-Enhanced Contrasting Extremal Region and Neural Networks. ICPR 2014: 2715-2720 - 2012
- [c1]Jun Du, Qiang Huo, Kai Chen:
Designing compact classifiers for rotation-free recognition of large vocabulary online handwritten Chinese characters. ICASSP 2012: 1721-1724
Coauthor Index
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